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PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute

PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute

PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute

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CHAPTER 3. NON-LOCAL FEATURES IN THE PRIMORDIAL SPECTRUM<br />

3.3 Discussion<br />

In this chapter, our main aim has been to investigate if the CMB data support certain<br />

non-local features—i.e. a certain repeated and characteristic pattern that extends over a<br />

wide range of scales—in the primordial scalar power spectrum. With this goal in mind,<br />

we have studied two models of inflation, both of which contain oscillatory terms in the<br />

inflaton potential. The oscillations in the potential produces oscillations in the slow roll<br />

parameters, which in turn generate oscillations in the primordial as well as the CMB<br />

power spectra. Earlier work in this context had utilized the analytical expressions for the<br />

primordial power spectra, obtained in the slow roll approximation, to compare such models<br />

with the data [97, 98, 99]. Instead, we have used an accurate and efficient numerical<br />

code to arrive at the inflationary scalar and tensor power spectra. In fact, in order to ensure<br />

a good level of accuracy, rather than evolve a finite set of modes and interpolate, we<br />

have evolved and computed the inflationary perturbation spectra for all the modes that<br />

is required by CAMB to arrive at the corresponding CMB angular power spectra. While<br />

this reflects the extent of the numerical accuracy of our computations, the efficiency of the<br />

code can be gauged by the fact that we have able to been able to complete the required<br />

runs within a reasonable amount of time despite such additional demands.<br />

Prior experience, gained in a different context, had already suggested the possibility<br />

that small and continued oscillations in the scalar power spectra can lead to a better fit<br />

to the data [94]. This experience has been corroborated by the earlier [97, 98, 99] and our<br />

current analysis (in this context, see, however, Ref. [100]; we shall comment further on<br />

this point below). We find that, oscillations, such as those occur in the axion monodromy<br />

model lead to a superior fit to the data. In fact, as far as the WMAP seven-year data is<br />

concerned, on evaluating the CMB angular power spectrum at all the required multipoles<br />

without any interpolation, we obtain an improvement of about13 in the least squares parameterχ<br />

2 eff for the axion monodromy model, just as the earlier analytical efforts had [98].<br />

The time taken to compute the uninterpolated inflationary power spectra depends not<br />

only on the number of points required, but also on the frequency of the oscillations in the<br />

inflaton potentials that we have considered. In the case of the axion monodromy model,<br />

over the range of parameters that we have worked with, our code takes about 3–12 seconds<br />

to calculate the inflationary power spectra (both scalar and tensor) for the nearly<br />

2000k-points which are required by CAMB. While such a level efficiency seems adequate<br />

for comparing the models of our interest with the WMAP seven-year data, we found<br />

that evaluating the uninterpolated CMB angular power spectra for comparing with the<br />

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